agentic-workflow

OpenAI's GPT-6 Astra, a frontier AI model, is now available on Azure through Microsoft Foundry for enterprise use, enabling agentic work and computer use across applications.

The article argues that failures in agentic workflow automation stem from inaccurate process maps and lack of context in enterprise deployments, not AI model limitations, and suggests process intelligence tools like Celonis and Skan AI as key solutions.

The article reviews AI video generation tools like Kling 3.0, DomoAI, Higgsfield, HeyGen, and Runway for their suitability in beginner-friendly marketing agent workflows, focusing on how each tool fits into specific creative production stages.

Thomson Reuters launched the next generation of CoCounsel Legal, an AI-powered product integrating legal research, drafting, and workflows with Westlaw and Practical Law, including the Westlaw Brief Builder for automated drafting while maintaining lawyer control.

This paper presents CAi Copilot, an expert-oriented agent with three linked layers that turns molecular design intent into executable, traceable workflows, achieving the strongest performance across 45 tasks.

The DeepLens Diagnosis Agent uses a five-stage agentic workflow with a small medical reasoning model (7B) to achieve 60.14% diagnostic accuracy on a 915-case benchmark, outperforming frontier LLMs like Claude Sonnet 4.5 and Gemini 3.1 Pro at lower cost. The workflow design alone yields a 36-point gain over the base model, demonstrating that structured process constraints are key for diagnostic reasoning.

Open Deep Research is an open-source Next.js app that combines Firecrawl Search and Extract with a reasoning model to perform iterative web research loops, including search, extraction, planning, source tracking, and synthesis.

A detailed measurement study across Anthropic, OpenAI, Gemini, and DeepSeek finds that the conventional 30-second prompt cache keepalive is 8x too frequent; a 4-minute interval is optimal, and only Anthropic's cache saves money at long idle gaps.

SciForge is an open-source, AI-native multimodal workbench for scientific discovery that integrates search, reasoning, workflow execution, and evidence governance, demonstrated through eight end-to-end use cases including gene discovery and protein design.

A developer created a comprehensive set of 42 skills for Claude, organized like a real company org chart, covering departments like development, marketing, finance, and legal. Each skill is open-source and installable from GitHub or Claude plugins.

Introduces ProofCouncil, an LLM-based agent with an author-critic architecture that autonomously solves open mathematical problems. It achieved the best performance in the FirstProof challenge, solving 6 of 10 problems correctly, and shows promise on a broader set of 30 open problems.

Noma Labs discovered a critical prompt injection vulnerability in GitHub's Agentic Workflows, allowing unauthenticated attackers to exfiltrate data from private repositories by posting a crafted GitHub issue in a public repository of the same organization.

Plurality is a fully free and open-source local AI platform that combines agentic workflows with a chatbot interface, supporting background processing, sandboxed shell/file access, and compatibility with skills and MCP.

Semantic Browsing introduces a method for controlled diversity in text-to-image generation by using a Vision Language Model with an agentic workflow to generate structured, interpretable variations based on semantic decisions.

A developer demonstrates a proof-of-concept integration using CopilotKit to generate AI-powered UI on the fly from Attio CRM data, running in the Codex native app to create adaptive workflows.

Published a custom kernel to further optimize LTX-2.3 from Lightricks, achieving 1.52x speedup on GB10, building upon previous torch.compile and cuDNN attention optimizations.

Aflow is a workflow-native agent built on ACP that helps teams design, run, maintain, and improve durable agent processes using YAML workflows, enabling easy sharing and resumption of sessions.

PathoSage introduces a three-stage framework for pathology multimodal reasoning that separates knowledge retrieval, evidence collection, and evidence adjudication to reduce hallucinations and handle conflicting evidence, featuring a training-free Beta-Bernoulli experience system for modeling tool reliability.

Az8 Studio is an infinite canvas with interconnected nodes for multi-modal AI video pipelines, enabling contextual memory across nodes, parallel multi-model orchestration, and persistent asset-to-agent workflows. It represents a shift from linear AI tools to spatial agentic environments.

Discusses common runtime issues in agentic workflow (loop budget, tool permissions, state loss due to compression), recommends DenisSergeevitch's agents-best-practices resource, provides a provider-neutral reference, emphasizes making permissions, budget, and observability explicit mechanisms.